DOI: 10.5194/cp-10-1633-2014
Scopus记录号: 2-s2.0-84961290426
论文题名: Last interglacial model-data mismatch of thermal maximum temperatures partially explained
作者: Bakker P. ; Renssen H.
刊名: Climate of the Past
ISSN: 18149324
出版年: 2014
卷: 10, 期: 4 起始页码: 1633
结束页码: 1644
语种: 英语
Scopus关键词: assessment method
; data set
; interglacial
; numerical model
; paleoclimate
; proxy climate record
; temperature effect
英文摘要: The timing of the last interglacial (LIG) thermal maximum across the globe remains to be precisely assessed. Because of difficulties in establishing a common temporal framework between records from different palaeoclimatic archives retrieved from various places around the globe, it has not yet been possible to reconstruct spatio-temporal variations in the occurrence of the maximum warmth across the globe. Instead, snapshot reconstructions of warmest LIG conditions have been presented, which have an underlying assumption that maximum warmth occurred synchronously everywhere. Although known to be an oversimplification, the impact of this assumption on temperature estimates has yet to be assessed. We use the LIG temperature evolutions simulated by nine different climate models to investigate whether the assumption of synchronicity results in a sizeable overestimation of the LIG thermal maximum. We find that for annual temperatures, the overestimation is small, strongly model-dependent (global mean 0.4 ± 0.3 °C) and cannot explain the recently published 0.67 °C difference between simulated and reconstructed annual mean temperatures during the LIG thermal maximum. However, if one takes into consideration that temperature proxies are possibly biased towards summer, the overestimation of the LIG thermal maximum based on warmest month temperatures is non-negligible with a global mean of 1.1 ± 0.4 °C. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49229
Appears in Collections: 气候变化与战略
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Recommended Citation:
Bakker P.,Renssen H.. Last interglacial model-data mismatch of thermal maximum temperatures partially explained[J]. Climate of the Past,2014-01-01,10(4)